Hi everyone, I’m working on a custom camera implementation in iOS using native code. My goal is to capture unprocessed, realistic images directly from the camera — without any filters or post-image processing applied by the system. I’ve implemented RAW image capture using the native camera APIs (AVFoundation) and successfully received .dng files. However, even the RAW outputs don’t look like the real environment — the colors, tone, and exposure still seem processed or corrected in some way. I’ve tried various configurations such as photoSettings.rawPhotoPixelFormatType, experimenting with AVCaptureDevice and AVCapturePhotoOutput settings, and reviewing ProRAW and standard RAW behavior, but I’m still not getting truly unprocessed results that reflect the actual sensor data. Has anyone experienced similar results when capturing RAW images on iOS, or found a way to bypass Apple’s image signal processing (ISP) pipeline for more realistic captures? Any insights or references from Apple’s camera framework behavior would be greatly appreciated. Thank you!

Prerequisite: After the MDM APP issues the command, the camera on the phone is no longer visible (unusable). After upgrading to iOS 26.1, the isSourceTypeAvailable: UIImagePickerControlSourceTypeCamera method keeps returning true when the camera is unavailable. The isSourceTypeAvailable: UIImagePickerControlSourceTypeCamera method on iOS 26.0.1 is normal, returning false when the camera is unavailable and true when it is available. Please fix this method to determine If the isSourceTypeAvailable: UIImagePickerControlSourceTypeCamera method cannot determine whether the camera is available, please provide an available judgment method.

Issue: After iOS 18.5 release, our app is experiencing a significant increase in AVCaptureSessionInterruptionReason.videoDeviceNotAvailableWithMultipleForegroundApps errors. Details: Our camera-related code has not been updated recently.However, we've observed that the error rate has significantly increased starting from May 2025. The error rate has risen from approximately 0.02% (2 in 10,000 users) to 0.1% (1 in 1,000 users). This represents a 5x increase in error occurrence. The frequency has increased noticeably since iOS 18.5 This is affecting our app's camera functionality and user experience Questions: Are there any known changes in iOS 18.5 regarding camera access management? What are the recommended best practices to handle this interruption reason? Are there any API changes we should be aware of? Best, Shay

My implementation of LockedCameraCapture does not launch my app when tapped from locked screen. But when the same widget is in the Control Center, it launches the app successfully. Standard Xcode target template: Lock_Screen_Capture.swift @main struct Lock_Screen_Capture: LockedCameraCaptureExtension { var body: some LockedCameraCaptureExtensionScene { LockedCameraCaptureUIScene { session in Lock_Screen_CaptureViewFinder(session: session) } } } Lock_Screen_CaptureViewFinder.swift: import SwiftUI import UIKit import UniformTypeIdentifiers import LockedCameraCapture struct Lock_Screen_CaptureViewFinder: UIViewControllerRepresentable { let session: LockedCameraCaptureSession var sourceType: UIImagePickerController.SourceType = .camera init(session: LockedCameraCaptureSession) { self.session = session } func makeUIViewController(context: Self.Context) -> UIImagePickerController { let imagePicker = UIImagePickerController() imagePicker.sourceType = sourceType imagePicker.mediaTypes = [UTType.image.identifier, UTType.movie.identifier] imagePicker.cameraDevice = .rear return imagePicker } func updateUIViewController(_ uiViewController: UIImagePickerController, context: Self.Context) { } } Then I have my widget: struct CameraWidgetControl: ControlWidget { var body: some ControlWidgetConfiguration { StaticControlConfiguration( kind: "com.myCompany.myAppName.lock-screen") { ControlWidgetButton(action: MyAppCaptureIntent()) { Label("Capture", systemImage: "camera.shutter.button.fill") } } } } My AppIntent: struct MyAppContext: Codable {} struct MyAppCaptureIntent: CameraCaptureIntent { typealias AppContext = MyAppContext static let title: LocalizedStringResource = "MyAppCaptureIntent" static let description = IntentDescription("Capture photos and videos with MyApp.") @MainActor func perform() async throws -> some IntentResult { .result() } } The Issue LockedCameraCapture Widget does not launch my app when tapped from locked screen. You get the Face ID prompt and takes you to just Home Screen. But when the same widget is in the Control Center, it launches the app successfully. Error Message When tapped on Lock Screen, I get the following error code: LaunchServices: store ‹private > or url ‹private > was nil: Error Domain=NSOSStatusErrorDomain Code=-54 "process may not map database" UserInfo=&NSDebugDescription=process may not map database, _LSLine=72, _LSFunction=_LSServer_GetServerStoreForConnectionWithCompletionHandler} Attempt to map database failed: permission was denied. This attempt will not be retried. Failed to initialize client context with error Error Domain=NSOSStatusErrorDomain Code=-54 "process may not map database" UserInfo=&NSDebugDescription=process may not map database, _LSLine=72, _LSFunction=_LSServer_GetServerStoreForConnectionWithCompletionHandler} Things I tried Widget image displays correctly App ID and the Provisioning Profile seem to be fine since they work fine when the same code injected in to AVCam sample app and when used the same App ID's. AppIntent file contains the target memberships of the Lock Screen capture and Widget Apple compiles without errors or warnings.

I'm developing an iOS app using AVFoundation for real-time video capture and object detection. While implementing torch functionality with camera switching (between Wide and Ultra-Wide lenses), I encountered a critical issue where the camera freezes when toggling the torch while the Ultra-Wide camera is active. Issue If the torch is ON and I switch from Wide to Ultra-Wide, the camera freezes If the Ultra-Wide camera is active and I try to turn the torch ON, the camera freezes The iPhone Camera app allows using the torch while recording video with the Ultra-Wide lens, so this should be possible via AVFoundation as well. Code snippet DispatchQueue.global(qos: .userInitiated).async { [weak self] in guard let self = self else { return } let isSwitchingToUltraWide = !self.isUsingFisheyeCamera let cameraType: AVCaptureDevice.DeviceType = isSwitchingToUltraWide ? .builtInUltraWideCamera : .builtInWideAngleCamera let cameraName = isSwitchingToUltraWide ? "Ultra Wide" : "Wide" guard let selectedCamera = AVCaptureDevice.default(cameraType, for: .video, position: .back) else { DispatchQueue.main.async { self.showAlert(title: "Camera Error", message: "\(cameraName) camera is not available on this device.") } return } do { let currentInput = self.videoCapture.captureSession.inputs.first as? AVCaptureDeviceInput self.videoCapture.captureSession.beginConfiguration() if isSwitchingToUltraWide && self.isFlashlightOn { self.forceEnableTorchThroughWide() } if let currentInput = currentInput { self.videoCapture.captureSession.removeInput(currentInput) } let videoInput = try AVCaptureDeviceInput(device: selectedCamera) self.videoCapture.captureSession.addInput(videoInput) self.videoCapture.captureSession.commitConfiguration() self.videoCapture.updateVideoOrientation() DispatchQueue.main.async { if let barButton = sender as? UIBarButtonItem { barButton.title = isSwitchingToUltraWide ? "Wide" : "Ultra Wide" barButton.tintColor = isSwitchingToUltraWide ? UIColor.systemGreen : UIColor.white } print("Switched to \(cameraName) camera.") } self.isUsingFisheyeCamera.toggle() } catch { DispatchQueue.main.async { self.showAlert(title: "Camera Error", message: "Failed to switch to \(cameraName) camera: \(error.localizedDescription)") } } } } Expected Behavior Torch should be able to work when Ultra-Wide is active, just like the iPhone Camera app does. The camera should not freeze when switching between Wide and Ultra-Wide with the torch ON. AVCaptureSession should not crash when toggling the torch while Ultra-Wide is active. Questions & Help Needed Is this a known issue with AVFoundation? How does the iPhone Camera app allow using the torch while recording in Ultra-Wide? What’s the correct way to switch between Wide and Ultra-Wide cameras without freezing when the torch is active? Info Device tested: iPhone 13 Pro / iPhone 15 Pro / Iphone 15 iOS Version: iOS 17.3 / iOS 18.0 Xcode Version: 16.2

Before iOS26.1, allowCamera set false, all app can't use camera. On iOS26.1, allowCamera set false, removes camera icon from the Home Screen, but third app can still use camera, such as Safari and other apps that can call camera. Is it a bug or a new features？

I'm at my wit's end with a problem I'm facing while developing an app. The app is designed to send video captured on an iPhone to a browser application for real-time display. While it works on many older iPhone models, whenever I test it on an iPhone 17 Pro or 17 Pro Max, the video displayed in the browser becomes a solid green screen, or a colorful, garbled image that's mostly green. I've been digging into this, and my main suspicion is an encoding failure. It seems the resolution of the ultra-wide and telephoto cameras was significantly increased on the 17 Pro and Pro Max (from 12MP to 48MP), and I think this might be overwhelming the encoder. I'm really hoping someone here has encountered a similar issue or has any suggestions. I'm open to any information or ideas you might have. Please help! Environment Information: WebRTC Library: GoogleWebRTC Version 1.1 (via CocoaPods) Signaling Server: AWS Kinesis Video Streams Problem Occurs on: Model: iPhone18,1, OS: 26.0 Model: iPhone18,1, OS: 26.1 Works Fine on: Many models before iPhone17,5 Model: iPhone18,1, OS: 26.0 Model: iPhone18,3, OS: 26.0

Foreword: I filed a feedback a week ago and so far no one replied or at least acknowledged my feedback. That's why I'm writing here now to get some more attention (hopefully, thanks). I recorded a video to show you what exactly is happening. I am not sure where the issue belongs to exactly but it is related to associated domains, the camera (QR codes), the NFC module, App Intents and Control Center controls. https://youtu.be/sT2bZLs_6rA FB20418059 (I added some tags that are somehow related to the associated domain issue)

Hello Apple team, I'm working on an iOS AR app using SwiftUI and RealityKit, and I was wondering if the Cinematic API can be used with a RealityKit scene. I’d like to achieve a shallow depth of field while keeping the 3D asset in focus, and vice versa. Thanks!

I am able to capture 48mp photos using .builtInWideAngleCamera, but it seems like .builtInTripleCamera is capped at 12mp? Is there a way to capture 48mp photos using .builtInTripleCamera? Because .builtInTripleCamera provides smooth transition between cameras during zooming, and I'd like to keep this behavior. New iPhone 17 Pro have all their cameras at 48mp. Is there a chance that their .builtInTripleCamera is capable of capturing 48mp? Or is this an API limitation?

Hi, I’m trying to configure camera feed in ARKit to be in Apple Log color space. I can change Capture Device’s format to one that has Apple Log and I see one frame being in proper log-gray colors but then all AR tracking stops and tracking state hangs at “initializing”. In other combinations I see error “sensor failed to initialize” and session restarts with default format. I suspect that this is because normal AR capture formats are 420f, whereas ones that have Apple Log are 422. Could someone confirm if it’s even possible to run ARKit session with camera feed in a different pixel format? I’m trying it on iphone 15 pro

I am working on capturing 48MP images using the iPhone 16 Pro Max with the Ultra-wide camera. I’ve updated the code to capture the maximum supported dimensions with the following snippet: if #available(iOS 16.0, *) { photoOutput.maxPhotoDimensions = device.activeFormat.supportedMaxPhotoDimensions.last! photoSettings.maxPhotoDimensions = .init(width: 5712, height: 4284) } However, I’m still not getting the expected results. My goal is to capture 48MP images, and I want to confirm if the Ultra-wide camera supports this resolution or if I’m missing any other configuration. Any guidance would be appreciated!

Hey, I'm having a very strange issue on my iPhone 17 Pro. I'm trying to capture a 12MP ProRAW image using the Telephoto Lens with the photoQualityPrioritization set to .Quality. Unfortunately I receive this error when trying to capture the image: Error Domain=AVFoundationErrorDomain Code=-11800 "The operation could not be completed" UserInfo={NSUnderlyingError=0x134f7a1f0 {Error Domain=NSOSStatusErrorDomain Code=-16802 "(null)"}, NSLocalizedFailureReason=An unknown error occurred (-16802), AVErrorRecordingFailureDomainKey=4, NSLocalizedDescription=The operation could not be completed} The photo captures correctly at 7.9x zoom, it's only a problem when the zoom goes over 8x. Also, it's only this particular configuration of settings which causes the issue. I'm able to capture an image if I either: Set quality to ".balanced" Set max dimensions to 48MP Capture a JPEG image instead of a ProRAW image Use the TripleCamera fusion lens Any help would be greatly appreciated. Alex

I'm using the LockedCameraCaptureExtension to launch my Camera app from the camera button. Some of our users report our app crashing a few seconds after being launch from the camera button. The call stack is something inside BoardServices [BSServicesConfiguration activateXPCService] I'm not sure how to investigate or fix this, anyone else having the same issue? Basically in my LockedCameraCaptureExtension when it loads I just call openApplication on the LockedCameraCaptureSession to launch into my app. @main struct captureExtension: LockedCameraCaptureExtension { var body: some LockedCameraCaptureExtensionScene { LockedCameraCaptureUIScene { session in Button(action: { Task { await openCamera(session: session) } }, label: { Text("Open Camera") }) .buttonStyle(PlainButtonStyle()) .task { await openCamera(session: session) } } } private func openCamera(session: LockedCameraCaptureSession) async { try? await session.openApplication(for: NSUserActivity(activityType: "com.mycompany.camera")) } }

For iPhones 16 and below, orientation is applied in UIImage or CIImage, but not for iPhone 17. The camera is front-facing, and it uses Vision to capture facial images. Thanks for your help.

I'm experiencing an issue with my app when saving images to the camera roll. This is intermittent, but it happens several times a day. The error I receive is the following: Connection to assetsd was interrupted - assetsd exited, died, or closed the photo library Error getting remote object proxy for -[PLNonBindingAssetsdPhotoKitClient sendChangesRequest:reply:]_block_invoke: Error Domain=NSCocoaErrorDomain Code=4097 "connection to service named com.apple.photos.service" UserInfo={NSDebugDescription=connection to service named com.apple.photos.service} PhotoKit XPC proxy is invalid. Dropping request on the floor and returning an error: Error Domain=PHPhotosErrorDomain Code=3301 "(null)" (underlying error Error Domain=NSCocoaErrorDomain Code=4097 "connection to service named com.apple.photos.service" UserInfo={NSDebugDescription=connection to service named com.apple.photos.service}) CoreData: error: XPC: synchronousRemoteObjectProxyWithErrorHandler: store 'file:///var/mobile/Media/PhotoData/Photos.sqlite' encountered error: Error Domain=NSCocoaErrorDomain Code=4099 "The connection to service created from an endpoint was invalidated: failed to check-in, peer may have been unloaded: mach_error=10000003." UserInfo={NSDebugDescription=The connection to service created from an endpoint was invalidated: failed to check-in, peer may have been unloaded: mach_error=10000003.} CoreData: error: XPC: synchronousRemoteObjectProxyWithErrorHandler: store 'file:///var/mobile/Media/PhotoData/Photos.sqlite' encountered error: Error Domain=NSCocoaErrorDomain Code=4099 "The connection to service created from an endpoint was invalidated: failed to check-in, peer may have been unloaded: mach_error=10000003." UserInfo={NSDebugDescription=The connection to service created from an endpoint was invalidated: failed to check-in, peer may have been unloaded: mach_error=10000003.} My code is unchanged from using my app daily on an iPhone 16 Pro with iOS 26. I never saw the issue on this device. Here is an excerpt from my code for saving the image: var localIdentifier = String() PHPhotoLibrary.shared().performChanges({ let albumChangeRequest = PHAssetCollectionChangeRequest(for: album) let assetCreationRequest = PHAssetCreationRequest.forAsset() let options = PHAssetResourceCreationOptions() assetCreationRequest.addResource(with: .photo, data: imageData, options: options) assetCreationRequest.creationDate = Date.now let placeHolder = assetCreationRequest.placeholderForCreatedAsset albumChangeRequest?.addAssets([placeHolder!] as NSArray) if placeHolder != nil { localIdentifier = (placeHolder?.localIdentifier)! } }) { (didSucceed, error) in OperationQueue.main.addOperation({ didSucceed ? success(localIdentifier) : failure(error) }) } I'm not sure why this would be device specific but I have had users with iPhone 17 Pro and iPhone Air reporting the issue. Alex

I want to use both front UW and TrueDepth cameras in iPad which has front UW camera. Firstly, I have used only front builtInDualCamera by AVFoundation and tried all the formats that can be used with builtInDualCamera, but there was no format that could capture UW. Secondly, I have tried to both front builtInDualCamera and builtInUltraWideCamera, but there was no combination that could use builtInUltraWideCamera and builtInDualCamera. Is there any way ?

Hello everyone, I'm working on a feature where I need to capture the highest possible quality photo (e.g., 24MP on supported devices) and upload it to our server. I don't need the photos to appear in user's main Photos app so I thought I could store the photos in app's private directory using FileManager until they are uploaded. This wouldn't require requesting Photo Library permission, maximizing user privacy. The documentation on AVCapturePhotoOutput states that "the 24MP setting (5712, 4284) is only serviced as 24MP when opted-in to autoDeferredPhotoDeliveryEnabled" /** @property maxPhotoDimensions @abstract Indicates the maximum resolution of the requested photo. @discussion Set this property to enable requesting of images up to as large as the specified dimensions. Images returned by AVCapturePhotoOutput may be smaller than these dimensions but will never be larger. Once set, images can be requested with any valid maximum photo dimensions by setting AVCapturePhotoSettings.maxPhotoDimensions on a per photo basis. The dimensions set must match one of the dimensions returned by AVCaptureDeviceFormat.supportedMaxPhotoDimensions for the current active format. Changing this property may trigger a lengthy reconfiguration of the capture render pipeline so it is recommended that this is set before calling -[AVCaptureSession startRunning]. Note: When supported, the 24MP setting (5712, 4284) is only serviced as 24MP when opted-in to autoDeferredPhotoDeliveryEnabled. */ @available(iOS 16.0, *) open var maxPhotoDimensions: CMVideoDimensions (btw. this note is not present in the docs https://developer.apple.com/documentation/avfoundation/avcapturephotooutput/maxphotodimensions) Enabling autoDeferredPhotoDeliveryEnabled means that for a 24MP capture, the system will call the photoOutput(_:didFinishCapturingDeferredPhotoProxy:error:) delegate method, providing a proxy object instead of the final image data. According to the WWDC23 session "Create a more responsive camera experience," this AVCaptureDeferredPhotoProxy must be saved to the PHPhotoLibrary using a PHAssetCreationRequest with the resource type .photoProxy. The system then handles the final processing in the background within the library. To use deferred photo processing, you'll need to have write permission to the photo library to store the proxy photo, and read permission if your app needs to show the final photo or wants to modify it in any way. https://developer.apple.com/videos/play/wwdc2023/10105/?time=799 This seems to create a hard dependency on the Photo Library for accessing 24MP images. My question is: Is there any way to receive the final, processed 24MP image data directly in the app after a deferred capture, without using PHPhotoLibrary as the processing intermediary? For example, is there a delegate callback or a mechanism I'm missing that provides the final data for a deferred photo, allowing an app to handle it in-memory or in its own private sandbox, completely bypassing the user's Photo Library? Our goal is to follow Apple's privacy-first principles by avoiding requesting a PHPhotoLibrary authorization when our app's core function doesn't require access to the user's photo collection. Thank you for your time and any clarification you can provide.

since the release of iOS26 i get new reports of people making home screen apps of website pages that had camera accessibility to take pictures that mention the camera being 90degree sideways to what it should be. i have tested it myself and was able to reproduce the issue quite easily on iPhones 13|15|16 regular and pro versions. this affects all cameras when trying using them with navigator.mediaDevices.getUserMedia({...})...

I just recently updated to iOS 26 beta (23A5336a) to test an app I am developing I running an MLModel loaded from a .mlmodelc file. On the current iOS version 18.6.2 the model is running as expected with no issues. However on iOS 26 I am now getting error when trying to perform an inference to the model where I pass a camera frame into it. Below is the error I am seeing when I attempt to run an inference. at the bottom it says "Failed with status=0x1d : statusType=0x9: Program Inference error status=-1 Unable to compute the prediction using a neural network model. It can be an invalid input data or broken/unsupported model " does this indicate I need to convert my model or something? I don't understand since it runs as normal on iOS 18. Any help getting this to run again would be greatly appreciated. Thank you, processRequest:model:qos:qIndex:modelStringID:options:returnValue:error:: Could not process request ret=0x1d lModel=_ANEModel: { modelURL=file:///var/containers/Bundle/Application/04F01BF5-D48B-44EC-A5F6-3C7389CF4856/RizzCanvas.app/faceParsing.mlmodelc/ : sourceURL=(null) : UUID=46228BFC-19B0-45BF-B18D-4A2942EEC144 : key={"isegment":0,"inputs":{"input":{"shape":[512,512,1,3,1]}},"outputs":{"var_633":{"shape":[512,512,1,19,1]},"94_argmax_out_value":{"shape":[512,512,1,1,1]},"argmax_out":{"shape":[512,512,1,1,1]},"var_637":{"shape":[512,512,1,19,1]}}} : identifierSource=1 : cacheURLIdentifier=01EF2D3DDB9BA8FD1FDE18C7CCDABA1D78C6BD02DC421D37D4E4A9D34B9F8181_93D03B87030C23427646D13E326EC55368695C3F61B2D32264CFC33E02FFD9FF : string_id=0x00000000 : program=_ANEProgramForEvaluation: { programHandle=259022032430 : intermediateBufferHandle=13949 : queueDepth=127 } : state=3 : [Espresso::ANERuntimeEngine::__forward_segment 0] evaluate[RealTime]WithModel returned 0; code=8 err=Error Domain=com.apple.appleneuralengine Code=8 "processRequest:model:qos:qIndex:modelStringID:options:returnValue:error:: ANEProgramProcessRequestDirect() Failed with status=0x1d : statusType=0x9: Program Inference error" UserInfo={NSLocalizedDescription=processRequest:model:qos:qIndex:modelStringID:options:returnValue:error:: ANEProgramProcessRequestDirect() Failed with status=0x1d : statusType=0x9: Program Inference error} [Espresso::handle_ex_plan] exception=Espresso exception: "Generic error": ANEF error: /private/var/containers/Bundle/Application/04F01BF5-D48B-44EC-A5F6-3C7389CF4856/RizzCanvas.app/faceParsing.mlmodelc/model.espresso.net, processRequest:model:qos:qIndex:modelStringID:options:returnValue:error:: ANEProgramProcessRequestDirect() Failed with status=0x1d : statusType=0x9: Program Inference error status=-1 Unable to compute the prediction using a neural network model. It can be an invalid input data or broken/unsupported model (error code: -1). Error Domain=com.apple.Vision Code=3 "The VNCoreMLTransform request failed" UserInfo={NSLocalizedDescription=The VNCoreMLTransform request failed, NSUnderlyingError=0x114d92940 {Error Domain=com.apple.CoreML Code=0 "Unable to compute the prediction using a neural network model. It can be an invalid input data or broken/unsupported model (error code: -1)." UserInfo={NSLocalizedDescription=Unable to compute the prediction using a neural network model. It can be an invalid input data or broken/unsupported model (error code: -1).}}}